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Autonomous Flying

 

  • Intelligent Control of high-performance Unmanned Aerial Vehicles: We’re integrating fast, power and memory-efficient deep neural networks coupled with reinforcement learning on our custom built GPU-based UAVs. The smart UAVs can be then used for autonomous navigation in different environments, precision agriculture, depth sensing, volumetric analysis and high-performance deep learning applications. 

 

  • A few preprints of our ongoing research has been included below -
  1. Efficient Object Detection Model for Real-Time UAV Applications
  2. Energy-aware Goal Selection and Path Planning of UAV Systems via Reinforcement Learning

 

  • Custom Built GPU-based Drone Developed by Swapp Lab (demonstrated at UAV-Expo 2019)

 

Drone integrated with GPU and ZED Stereo Camera                         Nvidia GPU 

 

                                                                      

Stereo ZED Camera